From 172121b6d80b660760296ecb79ace3f240591a8a Mon Sep 17 00:00:00 2001
From: Anthony Cioppa <31652699+cioppaanthony@users.noreply.github.com>
Date: Fri, 7 Jul 2023 16:35:23 +0200
Subject: [PATCH] leaderboards available
---
README.md | 81 ++++++++++++++++++++++++++++++++++++++++++++++++++++---
1 file changed, 77 insertions(+), 4 deletions(-)
diff --git a/README.md b/README.md
index 924552d..049b2a9 100644
--- a/README.md
+++ b/README.md
@@ -27,7 +27,7 @@ The official rules and guidelines are available on [ChallengeRules.md](Challenge
-### 2023 Challenge leaderboard
+### 2023 Action Spotting Challenge leaderboard
@@ -144,7 +144,7 @@ The official rules and guidelines are available on [ChallengeRules.md](Challenge
-### 2022 Challenge leaderboard
+### 2022 Action Spotting Challenge leaderboard
@@ -343,7 +343,7 @@ The official rules and guidelines are available on [ChallengeRules.md](Challenge
Check out our paper on the [SoccerNet 2022 Challenge Results](https://arxiv.org/abs/2210.02365) published at the ACMM Workshop.
-### 2021 Challenge leaderboard
+### 2021 Action Spotting Challenge leaderboard
This table summarizes the current performances on the 2021 Action Spotting Challenge.
For the leaderboard on the 2022 challenge, please visit EvalAI [test](https://eval.ai/web/challenges/challenge-page/761/leaderboard/2072) and [challenge](https://eval.ai/web/challenges/challenge-page/761/leaderboard/2074) leaderboards.
@@ -361,7 +361,7 @@ For the leaderboard on the 2022 challenge, please visit EvalAI [test](https://ev
|[straw]()| 7.39% | 51.65% | 5.92% | 49.78% |
|[NetVLAD](https://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w34/Giancola_SoccerNet_A_Scalable_CVPR_2018_paper.pdf)| 4.31% | 30.74% | 4.20% | 31.37% |
-### Published research benchmark
+### Published Action Spotting research benchmark
This table summarizes the current performances of published methods only. Last update January 2022.
@@ -377,6 +377,79 @@ This table summarizes the current performances of published methods only. Last
|[AudioVid](https://openaccess.thecvf.com/content_CVPRW_2020/html/w53/Vanderplaetse_Improved_Soccer_Action_Spotting_Using_Both_Audio_and_Video_Streams_CVPRW_2020_paper.html)| NA | NA | NA | 39.9% |
|[MaxPool](http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w34/Giancola_SoccerNet_A_Scalable_CVPR_2018_paper.pdf)| NA | NA | NA | 18.6% |
+
+### 2023 Ball Action Spotting Challenge leaderboard
+
+
+
+
+ Team |
+ mAP@1 |
+ mAP@2 |
+ mAP@3 |
+ mAP@4 |
+ mAP@5 |
+ Average-mAP (tight) |
+
+
+
+
+ Ruslan Baikulov |
+ 86.47 |
+ 87.98 |
+ 88.28 |
+ 88.18 |
+ 87.95 |
+ 87.91 |
+
+
+ FDL@ZLab |
+ 83.39 |
+ 85.19 |
+ 85.81 |
+ 86.0 |
+ 86.19 |
+ 85.45 |
+
+
+ BASIK |
+ 82.06 |
+ 83.39 |
+ 83.86 |
+ 84.04 |
+ 83.91 |
+ 83.57 |
+
+
+ FC Pixel Nets |
+ 81.89 |
+ 83.22 |
+ 83.97 |
+ 83.85 |
+ 84.02 |
+ 83.5 |
+
+
+ play |
+ 79.74 |
+ 82.58 |
+ 84.06 |
+ 84.49 |
+ 84.34 |
+ 83.29 |
+
+
+ Baseline (PTS) |
+ 62.72 |
+ 69.24 |
+ 72.57 |
+ 74.29 |
+ 74.8 |
+ 71.21 |
+
+
+
+
## How to download the dataset
### SoccerNet-v2 Action Spotting